Determining Falls Risk in People with Parkinson’s Disease Using Wearable Sensors: A Systematic Review

Determining Falls Risk in People with Parkinson’s Disease Using Wearable Sensors: A Systematic Review

A prior history of falls remains the strongest predictor of future falls in individuals with Parkinson’s disease (PD). There are limited biomarkers available to identify falls risk before falls begin to occur. The aim of this review is to investigate if features associated with falls risk may be det...

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Bibliographic Details
Main Authors: Maeve Bradley, Sarah O’Loughlin, Eoghan Donlon, Amy Gallagher, Clodagh O’Keeffe, John Inocentes, Federica Ruggieri, Richard B. Reilly, Richard Walsh, Tim Lynch, Daniel G. Di Luca, Conor Fearon
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
sensors
Parkinson’s
falls risk
Online Access:https://www.mdpi.com/1424-8220/25/13/4071
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https://www.mdpi.com/1424-8220/25/13/4071

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